Name
Title | ||
|---|---|---|
MirrARbilitation: A clinically-related gesture recognition interactive tool for an AR rehabilitation system. |
Abstract | ||
|---|---|---|
•Biomechanics techniques bring high applicability and therapist familiarity.•Interaction using specific therapeutic movements improves therapeutic efficacy.•Gesture recognition enables guidance and instruction to correct movements.•Biomechanical standards to recognize movements are valuable in guiding users.•MirrARbilitation improves exercise engagement and performance quality. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.cmpb.2016.07.014 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Rehabilitation,Augmented reality,Interaction,KinectTM,Movement analysis,Biomechanics | Movement analysis,Computer vision,Rehabilitation,Computer science,User engagement,Gesture recognition,Augmented reality,Software,Movement recognition,Increased motivation,Artificial intelligence | Journal |
Volume | ISSN | Citations |
135 | 0169-2607 | 10 |
PageRank | References | Authors |
0.67 | 9 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alana Da Gama | 1 | 43 | 4.91 |
| Thiago Chaves | 2 | 51 | 4.68 |
| Lucas Silva Figueiredo | 3 | 68 | 8.96 |
| Adriana Baltar | 4 | 10 | 0.67 |
| Meng Ma | 5 | 78 | 15.71 |
| Nassir Navab | 6 | 6594 | 578.60 |
| Veronica Teichrieb | 7 | 184 | 42.78 |
| Pascal Fallavollita | 8 | 253 | 33.83 |